• The DAUF project - “Datadriven Analys och Uppföljning av KTHs Forskning”

• A demo of the “KTH Publication Analysis app” with projects data from CASE

• Overview of available data sources for projects at KTH

• Your questions and feedback

Trend towards better overview of research outputs as well as integration of systems.

Example from Stanford

Stanford RIALTO project (Youtube)

The goal of this app is to help answering some common questions, for example:

• Who are the main collaborating partners of division X?
• How large is the publication output of department Y over time, in copublication with German organisations?
• Which senior staff at CBH is collaborating with MIT, and what is the bibliometric performance of this research compared to CBH baseline?
• What is the publication output and project count of the staff related to project X (ad-hoc group of KTH staff)

The idea is that the analysis app will complement the Annual bibliometric monitoring (ABM).

App link: https://analysis.sys.kth.se/bibliometrics/app/publ_analysis

Example collaboration network

TECoSA Centre running since 2020 used as example, based on 9 PIs.

Some summary stats:

• 462 publications 2010-2021

• 137 publications 2020-2021 (e.g from the TECoSA-period)

• 28 projecs in CASE

• 14 projects 2020-2021 (seems to be more in CASE, but some with missing data on duration)

• Info on funders and SDG-goals on projects

• Picture of collaborations, through co-publication

• DAUF has been building bottom-up data consolidation and analytics for KTH, making links between Researchers <-> Outpus <-> Projects

• “Which projects are active? Which researchers are involved? Grant sizes?”

• What is a project, really? It is an amorphous concept:

  • Externally financed research activity, ie funders and funding exists?
  • Internal ongoing “project work” - internal (or not financed at all)?
  • A call which has (not yet?) been awarded financing?
  • A way to group publications and their authors together?

• There is no single “source of truth” for all projects at KTH

  • Data requirements depend on who asks the questions and for what purpose

• Overview of available data sources
  • Descriptions of data sources
  • Data flows and access
  • Combining data sources for KTH projects

Data-driven flowchart. Data wrangling, exploratory data analysis, and data enrichment

• <Overview here - nr of records, update frequency, fields available, keys>

Pareto chart for missing values (counts and proportions) in Case

• <Overview here - nr of records, update frequency, fields available, keys>

• <Overview here - nr of records, update frequency, fields available, keys>

• <Overview here - nr of records, update frequency, fields available, keys>

• <Overlap - Unions and intersections for different data sources>

Entity/Relationship (ER) diagram. Shared identifiers among specific relational databases (RDB).

• <Product Owners, Future Outlook>
• Subject area analysis
  • UKÄ/SCB categories
  • Topic clusters and keywords
  • Journal classifications